167 related articles for article (PubMed ID: 31946068)
1. Scribbles for Metric Learning in Histological Image Segmentation.
Harada D; Bise R; Tokunaga H; Ohyama W; Oka S; Fujimori T; Uchida S
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():1026-1030. PubMed ID: 31946068
[TBL] [Abstract][Full Text] [Related]
2. Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation.
Enguehard J; O'Halloran P; Gholipour A
IEEE Access; 2019; 7():11093-11104. PubMed ID: 31588387
[TBL] [Abstract][Full Text] [Related]
3. Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method.
Zhou X; Takayama R; Wang S; Hara T; Fujita H
Med Phys; 2017 Oct; 44(10):5221-5233. PubMed ID: 28730602
[TBL] [Abstract][Full Text] [Related]
4. Automatic skin lesion classification based on mid-level feature learning.
Liu L; Mou L; Zhu XX; Mandal M
Comput Med Imaging Graph; 2020 Sep; 84():101765. PubMed ID: 32810817
[TBL] [Abstract][Full Text] [Related]
5. Annotation-efficient training of medical image segmentation network based on scribble guidance in difficult areas.
Zhuang M; Chen Z; Yang Y; Kettunen L; Wang H
Int J Comput Assist Radiol Surg; 2024 Jan; 19(1):87-96. PubMed ID: 37233894
[TBL] [Abstract][Full Text] [Related]
6. Constrained-CNN losses for weakly supervised segmentation.
Kervadec H; Dolz J; Tang M; Granger E; Boykov Y; Ben Ayed I
Med Image Anal; 2019 May; 54():88-99. PubMed ID: 30851541
[TBL] [Abstract][Full Text] [Related]
7. A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial Annotations.
Wu H; Niyogisubizo J; Zhao K; Meng J; Xi W; Li H; Pan Y; Wei Y
Int J Mol Sci; 2023 Nov; 24(22):. PubMed ID: 38003217
[TBL] [Abstract][Full Text] [Related]
8. Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images.
Zhang J; Hua Z; Yan K; Tian K; Yao J; Liu E; Liu M; Han X
Med Image Anal; 2021 Oct; 73():102183. PubMed ID: 34340108
[TBL] [Abstract][Full Text] [Related]
9. A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.
Pang S; Yu Z; Orgun MA
Comput Methods Programs Biomed; 2017 Mar; 140():283-293. PubMed ID: 28254085
[TBL] [Abstract][Full Text] [Related]
10. Practical method of cell segmentation in electron microscope image stack using deep convolutional neural network☆.
Konishi K; Mimura M; Nonaka T; Sase I; Nishioka H; Suga M
Microscopy (Oxf); 2019 Aug; 68(4):338-341. PubMed ID: 31220299
[TBL] [Abstract][Full Text] [Related]
11. Semi-Supervised Deep Learning Using Pseudo Labels for Hyperspectral Image Classification.
Hao Wu ; Prasad S
IEEE Trans Image Process; 2018 Mar; 27(3):1259-1270. PubMed ID: 29990156
[TBL] [Abstract][Full Text] [Related]
12. Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.
Ross T; Zimmerer D; Vemuri A; Isensee F; Wiesenfarth M; Bodenstedt S; Both F; Kessler P; Wagner M; Müller B; Kenngott H; Speidel S; Kopp-Schneider A; Maier-Hein K; Maier-Hein L
Int J Comput Assist Radiol Surg; 2018 Jun; 13(6):925-933. PubMed ID: 29704196
[TBL] [Abstract][Full Text] [Related]
13. Transfer learning for classification of cardiovascular tissues in histological images.
Mazo C; Bernal J; Trujillo M; Alegre E
Comput Methods Programs Biomed; 2018 Oct; 165():69-76. PubMed ID: 30337082
[TBL] [Abstract][Full Text] [Related]
14. Cell Segmentation Using a Similarity Interface With a Multi-Task Convolutional Neural Network.
Ramesh N; Tasdizen T
IEEE J Biomed Health Inform; 2019 Jul; 23(4):1457-1468. PubMed ID: 30530343
[TBL] [Abstract][Full Text] [Related]
15. Automatic Segmentation of Multiple Organs on 3D CT Images by Using Deep Learning Approaches.
Zhou X
Adv Exp Med Biol; 2020; 1213():135-147. PubMed ID: 32030668
[TBL] [Abstract][Full Text] [Related]
16. Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.
Qu H; Wu P; Huang Q; Yi J; Yan Z; Li K; Riedlinger GM; De S; Zhang S; Metaxas DN
IEEE Trans Med Imaging; 2020 Nov; 39(11):3655-3666. PubMed ID: 32746112
[TBL] [Abstract][Full Text] [Related]
17. Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks.
Ribalta Lorenzo P; Nalepa J; Bobek-Billewicz B; Wawrzyniak P; Mrukwa G; Kawulok M; Ulrych P; Hayball MP
Comput Methods Programs Biomed; 2019 Jul; 176():135-148. PubMed ID: 31200901
[TBL] [Abstract][Full Text] [Related]
18. Orthogonal convolutional neural networks for automatic sleep stage classification based on single-channel EEG.
Zhang J; Yao R; Ge W; Gao J
Comput Methods Programs Biomed; 2020 Jan; 183():105089. PubMed ID: 31586788
[TBL] [Abstract][Full Text] [Related]
19. Fast and Precise Hippocampus Segmentation Through Deep Convolutional Neural Network Ensembles and Transfer Learning.
Ataloglou D; Dimou A; Zarpalas D; Daras P
Neuroinformatics; 2019 Oct; 17(4):563-582. PubMed ID: 30877605
[TBL] [Abstract][Full Text] [Related]
20. DeepDistance: A multi-task deep regression model for cell detection in inverted microscopy images.
Koyuncu CF; Gunesli GN; Cetin-Atalay R; Gunduz-Demir C
Med Image Anal; 2020 Jul; 63():101720. PubMed ID: 32438298
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
